Hybrid Beamforming for Dual Functioning Multi-input Multi-output Radar using Dimension Reduced-baseband Piecewise Successive Approximation

A reliable and effective hybrid beamforming design for dual functioning multi-input multi-output (MIMO) radar is a challenging research problem because of the concerns related to limited user capacity, interference, lack performance trade-off. Due shortage available spectrum, frequency spectrum sharing has become vital in emerging 5G communication systems. This will reduce congestion, therefore receiving significant attention. The existing methods radio (RF) chains but improving capacity still major concern. Future radar-communication designs are having challenges enhancing with minimum RF chains, interference mitigation, hardware cost reduction. work proposes novel approach mechanism dual-functioning MIMO radar. uses dimension-reduced baseband piecewise successive approximation integrated digital precoder. At analog precoder, iterative applied perform beamforming. lens antenna array integration improves reduces power requirement, expenses. simulation results showed improved performances compared state-of-the-art terms bit error rate, spectral efficiency, energy response time.